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Conditional Local Convolution for Spatio-temporal Meteorological
  Forecasting

Conditional Local Convolution for Spatio-temporal Meteorological Forecasting

4 January 2021
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
    AI4TS
ArXivPDFHTML

Papers citing "Conditional Local Convolution for Spatio-temporal Meteorological Forecasting"

9 / 9 papers shown
Title
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Yuxuan Liang
Yu Zheng
Kun Wang
62
2
0
17 Jan 2025
LightWeather: Harnessing Absolute Positional Encoding to Efficient and
  Scalable Global Weather Forecasting
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting
Yisong Fu
Fei Wang
Zezhi Shao
Chengqing Yu
Yujie Li
Zhao Chen
Zhulin An
Yongjun Xu
AI4TS
35
0
0
19 Aug 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
40
8
0
06 Mar 2024
Learning Time-aware Graph Structures for Spatially Correlated Time
  Series Forecasting
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma
Jilin Hu
Christian S. Jensen
Fei Teng
Peng Han
Zhiqiang Xu
Tian-Jie Li
AI4TS
44
3
0
27 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal
  Forecasting
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
Xiaobei Zou
Luolin Xiong
Yang Tang
Jürgen Kurths
AI4TS
33
1
0
05 Dec 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for
  Meteorological Forecasting Based on Real-Time Observation Data from Ground
  Weather Stations
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Xun Zhu
Yutong Xiong
Ming Wu
Gaozhen Nie
Bin Zhang
Ziheng Yang
AI4TS
21
17
0
21 Feb 2023
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with
  ST-Curriculum Dropout
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Hongjun Wang
Jiyuan Chen
Tongbo Pan
Z. Fan
Boyuan Zhang
Renhe Jiang
Lingyu Zhang
Yi Xie
Zhongyin Wang
Xuan Song
GNN
19
8
0
28 Nov 2022
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
222
273
0
24 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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